Measuring Bank Efficiency in the ASEAN Economic Community

กฤษณา ฟองธนกิจ

ผู้แต่ง

กฤษณา ฟองธนกิจ Doctor of Philosophy Program in Development Administration, Suan Sunandha Rajabhat University

คำสำคัญ:

ประชาคมเศรษฐกิจอาเซียน, ประสิทธิภาพ, Data Envelopment Analysis.

บทคัดย่อ

การรวมตัวประชาคมอาเซียน เพื่อการเป็นตลาดและฐานการผลิตเดียวกัน (single market and production base) ซึ่งจะทำให้เกิดการไหลของทุนโดยเสรี (free flow of capital) ธนาคารพื้นถิ่นในแต่ละประเทศมีความจำเป็นต้องปรับปรุงประสิทธิภาพการดำเนินงานเพื่อสร้างความสามารถในการแข่งขัน

งานวิจัยนี้ มุ่งศึกษาเปรียบเทียบประสิทธิภาพการดำเนินงานธนาคารใน 4 ประเทศ ได้แก่ มาเลเซีย อินโดนีเซีย สิงค์โปร์ และไทย วิเคราะห์ข้อมูลผลการดำเนินงานจากรายงานประจำปีระหว่างปี ค.ศ. 2017-2019 ด้วยโปรแกรมสำเร็จรูป Data Envelopment Analysis (DEA) ผลจากการวิจัย พบว่า ธนาคารในประเทศมาเลเซียมีประสิทธิภาพในการดำเนินงานสูงกว่าธนาคารในประเทศอื่นทั้งในแง่การมีเงินทุนที่แข็งแกร่งและมีสภาพคล่องที่ดี ทั้งนี้ สาเหตุมาจากนโยบายรัฐบาลในการส่งเสริมภาคการธนาคาร

References

Ab-Rahim, R., Md-Nor, N. G., & Ramlee, S. (2012). The cost efficiency effects of involuntary bank mergers: Empirical evidence from Malaysia. Thammasat Economic Journal, 30(1), 129-160.

ADB. (2013). The Road to ASEAN Financial Integration: A Combined Study on Assessing the Financial Landscape and Formulating Milestones for Monetary and Financial Integration in ASEAN. Manila: Asian Development Bank.

Ahamed, M. M., & Mallick, S. K. (2019). Is financial inclusion good for bank stability? International evidence. Journal of Economic Behavior and Organization, 157, 403-427.

Al-Tamimi, H. A. H. (2006). The determinants of the UAE commercial banks' performance: A comparison of the national and foreign banks. Journal of Transnational Management, 10(4), 35-47.

Angelidis, D., & Lyroudi, K. (2006). Efficiency in the Italian banking industry: Data envelopment analysis and neural networks. International Research Journal of Finance and Economics, 5(1), 155-165.

Banna, H., Shah, S. K. B., Noman, A. H. M., Ahmad, R., & Masud, M. M. (2019). Determinants of Sino-ASEAN banking efficiency: How do countries differ? Economies, 7(1), 13.

Barth, J. R., & Miller, S. M. (2018). Benefits and costs of a higher bank “leverage ratio”. Journal of Financial Stability, 38, 37-52.

Benston, G. J. (1965). Branch banking and economies of scale. The Journal of Finance, 20(2), 312-331.

Berger, A. N., & Mester, L. J. (2003). Explaining the dramatic changes in performance of US banks: Technological change, deregulation, and dynamic changes in competition. Journal of Financial Intermediation, 12(1), 57-95.

Berger, A. N., & Humphrey, D. B. (1997). Efficiency of financial institutions: International survey and directions for future research. European Journal of Operational Research, 98(2), 175-212.

Bikker, J. A. & van Leuvensteijn, M. (2008) Competition and efficiency in the Dutch life insurance industry. Applied Economics, 40, 2063-2084.

Bikker, J. A. (2010). Measuring performance of banks: An assessment. Journal of Applied Business and Economics, 11(4), 141-159.

Boone, J., (2001) Intensity of competition and the incentive to innovate. International Journal of Industrial Organization, 19, 705-726.

Boone, J. (2008). A new way to measure competition. Economic Journal, 118, 1245-1261.

BOT. (2022). Repositioning Thailand’s Financial Sector for a Sustainable Digital Economy.Retrieved from https://www.bot.or.th/landscape/files/consultation-paper-en.pdf.

Casu, B., & Molyneux, P. (2003). A comparative study of efficiency in European banking. Applied Economics, 35(17), 1865-1876.

Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision-making units. European Journal of Operational Research, 2(6), 429-444.

Chortareas, G. E., Girardone, C., & Ventouri, A. (2012). Bank supervision, regulation, and efficiency: Evidence from the European Union. Journal of Financial Stability, 8, 292-302.

Chowdhury, M. A. M., & Haron, R. (2021). The efficiency of Islamic Banks in the Southeast Asia (SEA) region. Future Business Journal, 7, 1-16.

Claessens, S. (2009). Competition in the financial sector: Overview of competition policies. In The World Bank Research Observer. Oxford: Oxford University Press.

Cooper, W. W., Seiford, L. M., & Tone, K. (2006). Introduction to Data Envelopment Analysis and Its Uses: With DEA-Solver Software and References. Springer Science & Business Media.

De Lange van Bergen, M. (2006). The Determinants of Banking Competition: A World-Wide Lerner Index Approach. Master thesis, Groningen University.

Drake, L. M., Hall, M. J. B., & Simper, R., (2006). The impact of macroeconomic and regulatory factors on bank efficiency: A non-parametric analysis of Hong Kong’s banking system. Journal of Banking and Finance, 30(5), 1443-1466.

Farell M. J., (1957). The measurement of productive efficiency. Journal of Royal Statistical Society, 120(3), 253-281.

Galagedera, D. U. A., & Edirisuriya, P. (2004). Performance of Indian commercial banks (1995-2002): An application of data envelopment analysis and Malmquist productivity index. South Asian Journal Management, 12(4), 52-74.

Kedžo, M. G., & Sjauš, T. B. (2021). The efficiency analysis of large banks using the bootstrap and fuzzy DEA: A case of an emerging market. Information, 12(12), 507.

Grant, R. M. (1991). The resource-based theory of competitive advantage. California Management Review, 33, 114-135.

Henriques, I. C., Sobreiro, V. A., Kimura, H., & Mariano, E. B. (2020). Two-stage DEA in banks: Terminological controversies and future directions. Expert Systems with Applications, 161, 113632.

Holod, D., & Lewis, H. F. (2011). Resolving the deposit dilemma: A new DEA bank efficiency model. Journal of Banking & Finance, 35(11), 2801-2810.

Jansen, E. S., Berg, S. A., & Førsund, F. R. (1991). Technical efficiency of Norwegian banks: The non-parametric approach to efficiency measurement. Journal of Productivity Analysis, 2(2), 127-142.

Leightner, J. E., & Lovell, K. A. (1998). Impact of financial liberalization on performance of Thai banks. Journal of Economics and Business, 50(2), 115-131.

Lovell, C. A. K. (1993). Production frontiers and productive efficiency. In Fried H. O., Lovell, C. A. K., & Schmidt, S. S. (eds). The Measurement of Productive Efficiency: Techniques and Applications. UK: Oxford University Press.

Luo, Y., Huang., & Wang, S. (2012). Guanxi and organizational performance: A meta‐analysis. Management and Organization Review, 8(1), 139-172.

Milenkovic, N., Radovanov, B., Kalaš, B., & Horvat, A. M. (2022). External two-stage DEA analysis of bank efficiency in West Balkan countries. Sustainability 2022, 14(2), 978.

Nailah, N., & Rusydiana, A. S. (2020). Efficiency and stability of Islamic banking in ASEAN: DEA window analysis. Tazkia Islamic Finance and Business Review, 14(1), 1-19.

Ngo, D. T., & Nguyen, L. T. P., (2012). Total factor productivity of Thai Banks in 2007-2010: An application of DEA and malmquist index. Journal of Applied Finance & Banking, 2(5), 27-42.

Panzar, J., & Rosse, J. (1987). Testing for ‘monopoly’ equilibrium. Journal of Industrial Economics, 35, 443-456.

Panzar, J. C., & Rosse, J. N. (1982). Structure, Conduct and Comparative Statistics. Bell Laboratories Economic Discussion Paper.

Paradi, J. C., Sherman, H. D., & Tam, F. K. (2018). Data Envelopment Analysis in the Financial Services Industry: A Guide for Practitioners and Analysts Working in Operations Research Using DEA. Berlin/Heidelberg: Springer

Pasiouras, F., Sifodaskalakis, E., & Zopounidis, C. (2007). Estimating and Analyzing the Cost Efficiency of Greek Cooperative Banks: An Application of Two Stages Data Envelopment Analysis. Working paper Series No. 2007.12, University of Bath.

Rosse, J., & Panzar, J. (1977). Chamberlin vs Robinson: An Empirical Study for Monopoly Rents. Bell Laboratories Economic Discussion Paper.

Saad, W., & Moussawi, C. E. (2009). Evaluating the productive efficiency of Lebanese commercial banks: Parametric and non-parametric approach, International Management Review, 5(1), 5-19.

Sarifuddin, S., Ismail, M. K., & Kumaran, V. V. (2015). Comparison of banking efficiency in the selected ASEAN countries during the global financial crisis. Prosiding Persidangan Kebangsaan Ekonomi Malaysia Ke, 10, 287.

Sealey, C. W., & Lindley, J. T. (1977). Inputs, outputs and the theory of production and costs at depository financial institutions. Journal of Finance, 32(4), 1251-1265.

Seiford, L. M., (1996). Data envelopment Analysis: The evolution of the state of art (1978-1995), Journal of Productivity Analysis, 7, 99-138.

Sharma, K., Ow-jariyapithak, D., Dasri, P., Van Brecht, D., & Sahakijpicharn, D. (2021). Impact of corporate governance on firm efficiency: A study of Thai banking companies. International Journal of Multidisciplinary in Management and Tourism, 5(2), 66-86.

Simar, L., & Wilson, P. W. (2000), Statistical inference in nonparametric frontier model: The state of art. Journal of Productivity Analysis, 13, 49-78.

Soetanto, T. V., & Ricky, (2011). Technical efficiency of Indonesian commercial banks, Journal Manajemen Dan Kewirausahaan, 13(2), 107-116.

Sufian, F. (2007). Bank Mergerd performance and the determinants of Singapore bank’s efficiency. Gajah Mada International Journal of Business, 9(1), 19-39.

Sufian, F., & Majid, M. A. (2007). Singapore banking efficiency and its relation to stock returns: A DEA window analysis approach. International Journal of Business Studies, 15(1), 83-106.

Suseno, P., (2008). Analysis efisiensi dan skala ekonomi pada industri perbankan syariah di Indonesia. Journal of Islamic and Economics, 2(2), 35-55.

Susuki, Y., & Sastrosuwito, S. (2011). Efficiency and productivity change of the Indonesian commercial banks. International Proceedings of Economics Development and Research, 7, 10-14.

Syadullah, M. (2018). ASEAN banking efficiency review facing financial services liberalization: The Indonesian perspective. Asian Development Policy Review, 6(2), 88-99.

Tahir, I. M., Bakar, N. M. A., & Haron, S. (2009). Estimating Technical and Scale Efficiency of Malaysian Commercial Banks: A Non-Parametric Approach. International Review of Business Research Papers, 5(1), 113-123.

Tanwar, J., Seth, H., Vaish, A. K., & Rao, N. V. M. (2020). Revisiting the efficiency of Indian banking sector: An analysis of comparative models through data envelopment analysis. Indian Journal of Finance and Banking, 4(1), 92-108.

Thoraneenitiyan, N., & Avkiran, N. K. (2009). Measuring the impact of restructuring and country-specific factors on the efficiency of post-crisis East Asian banking systems: Integrating DEA with SFA. Socio-Economic Planning Sciences, 43(4), 240-252.

Usman, M., Wang, Z., Mahmood, F., & Shahid, H. (2010). Scale efficiency in banking sector of Pakistan. International Journal of Business and Management, 5(4), 104-116.

van Leuvensteijn, M., Kok Sørensen, C., Bikker, J. A., & van Rixtel, A. A. R. J. M. (2008). Impact of Bank Competition on the Interest Rate Pass-Through in the Euro Area. DNB Working Papers 171/ECB Working Papers 885/Tjalling C. Koopmans Research Institute Discussion Paper Series 08-08, University Utrecht.

van Leuvensteijn, M., Bikker, J. A., van Rixtel, A. A. R. J. M., & Kok Sørensen, C. (2010). A new approach to measuring competition in the loan markets of the euro area. Applied Economics, 43(23), 3155-3167.

Vora-Sittha, P. (2016). Is Thai banking ready for AEC financial liberalization in 2020? Asian Social Science, 12(5), 226-240.

Wai-Mun, H. L., Teck-Heang, L., & Cai-Lian, T. (2011). Readiness of ASEAN banking sector integration: Recent development and statistical evidence. The IUP Journal of Monetary Economics, 9(1), 46-65.

Wang, K., Huang, W., Wu, J., & Liu, Y. N. (2014). Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA. Omega, 44, 5-20.

Wahyudi, S. T. (2018). A comparative study of banking efficiency in ASEAN-5: The data envelopment analysis (DEA) approach. Journal of Indonesian Economy & Business, 33(2).

Wu, D. D., Yang, Z., & Liang, L. (2006). Using DEA-neural network approach to evaluate branch efficiency of a large Canadian bank. Expert Systems with Applications, 31(1), 108-115.

Zhu, J. (2000). Multi-factor performance measure model with an application to Fortune 500 companies. European Journal of Operational Research, 123(1), 105-124.